Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T172A432B9D145127356CBD6C5F8A25B5A3BE3934EEA43471993E887E0BFD2DC2E422C10 |
|
CONTENT
ssdeep
|
3072:iUD6tJ5vxiOITa7jDw/4Q1pSBn1pSBy1pSB61pSBo1pSBafoi2cluAkYc1DN:f6tJ5z7jDw/47g7/tt |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8e3131cecb65cf30 |
|
VISUAL
aHash
|
00003c3c3c3c0000 |
|
VISUAL
dHash
|
8af469696969690c |
|
VISUAL
wHash
|
003e7e7f7ffc0400 |
|
VISUAL
colorHash
|
39001000c00 |
|
VISUAL
cropResistant
|
8d9983e6a6a686a6,8af469696969690c |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 586 techniques to evade detection by security scanners and make reverse engineering more difficult.